Theresa A. Koleck

Dr. Koleck’s program of research is dedicated to mitigating symptom burden in patients diagnosed with chronic conditions using omics-based approaches and informatics/data science techniques, including clinical data mining, natural language processing, unsupervised machine learning, and data visualization. Currently, Dr. Koleck is developing a pipeline for characterization of symptom clusters in chronic conditions using both structured (i.e., diagnosis codes) and unstructured (i.e., clinical notes) electronic health record data. This work represents the essential first step toward future biomarker discovery and clinical application to alleviate symptom burden.  As a highly specialized nurse scientist trained in genomics and biomedical informatics, Dr. Koleck is at the forefront of advancing symptom science for chronic conditions through novel synergy of symptoms, omics, and informatics.